Generative AI is a form of artificial intelligence that can mimic human imagination and creativity. The term "generative" refers to models’ ability to generate original content, including text, video, audio, and more.
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Since ChatGPT's debut of its chatbot in November 2022, the daily use of generative AI has skyrocketed. This chart shows which chatbots are the most used around globally, from OpenAI's ChatGPT to Perplexity and DeepSeek.
Researchers describe superintelligence as an artificial intelligence system that exceeds human cognitive ability in every area. It is viewed as the theoretical evolution of artificial general intelligence, in which AI systems learn and have the capability of a typical human.
DALL-E first uses a model called CLIP to associate pictures with specific words, followed by a model called GLIDE, which slowly removes noise from random dots until a clear image appears that matches the prompt.
Unlike most content created from large language and diffusion models, deepfakes intentionally misrepresent real people or events with the intent to deceive. As the products of this technology become more realistic, they pose increasing risks to public trust, security, and privacy.
With an initial commitment of $1B from tech executives, OpenAI launched in 2015 to develop artificial general intelligence systems. ChatGPT's success after its 2022 launch surprised OpenAI's team as it spurred a global AI race.
Travis was quickly becoming dependent on his AI companion Lily Rose amid the pandemic (and the tragic loss of his son to the disease). Soon, he realized that thousands like him were being manipulated through the chatbot by a Russian corporation.
In large language models, temperature adjusts the randomness in text generation by modifying how often words with lower probabilities are selected next in the sequence. Lower temperatures produce more obvious outputs while higher temperatures produce more creative responses.
From asking the chatbot to sort grocery lists to bird-watchers using it to help identify birds, the official ChatGPT Instagram account spotlights interesting and creative use cases for the tool, especially in the days after a significant update or model has been released.
In late 2022, OpenAI launched a chatbot that quickly became one of the most viral tech products of all time. The software uses code to interpret natural language to produce sophisticated content based on simple user prompts.
Generative AI, or generative artificial intelligence, is a form of machine learning that is able to produce text, video, images, and other types of content in a matter of seconds. ChatGPT, DALL-E, and Bard are some of the better-known examples of generative AI applications that produce text or images based on prompts from users. Generative AI functions by training its software models to make predictions and create outputs based on patterns it identifies in vast amount of data. It is capable of producing content across almost every field—including academic writing and translation, composing and sound editing, infographics and image editing, scientific research, and more. Read this article to better understand how generative AI works, how it came to be, and its pros and cons.
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